Accenture

AI/ML Computational Science Manager

Accenture$94K — $293K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in Data Analysis, Statistics, Machine Learning, or Computer Science
  • 5+ years of experience in machine learning, deep learning, or Natural Language Processing (NLP)
  • 5+ years of experience with AI/ML cloud services from at least one provider
  • 1+ years of experience in designing and implementing Agentic Architectures
  • 1+ years of experience building Conversational AI applications with cloud services
  • Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

  • Collaborate with stakeholders to engineer innovative solutions for new systems and application enhancements.
  • Develop system specifications, test plans, and manage projects and issues within the assigned scope of work.
  • Design and build AI solutions using machine learning models to fulfill specific use cases.
  • Utilize advanced AI techniques to extract insights from complex datasets and solve intricate problems.
  • Deploy trained models into production environments, ensuring scalability and optimizing performance.
  • Design and implement multi-agent architectures to optimize client workflows.

Benefits

  • Medical, dental, and vision coverage
  • Life and long-term disability insurance
  • 401(k) plan
  • Bonus opportunities
  • Paid holidays and time off
Full Job Description

You Are:

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

Position Responsibilities:

  • Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.

  • Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.

  • Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.

  • Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.

  • Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.

  • Design and implement agents and multi-agent architectures to optimize client workflows.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Job Qualifications Here’s what you need:

  • Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science

  • Minimum of 5 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)

  • Minimum of 5 years of experience with AI/ML and cognitive services provided by at least one cloud service provider

  • Minimum of 1 year of experience designing, building, and/or implementing Agentic Architectures

  • Minimum of 1 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus points if you have:

  • Experience managing and leading Gen AI/Agentic delivery across enterprises

  • Deep industry expertise and experience designing industry-specific AI solutions

  • Experience with building out AI infrastructure and how to optimize/scale performance

  • Consulting/Advisory background with strong track record of continual experimentation with emergent tech

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/23/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role LocationAnnual Salary Range

California$94,400 to $293,800

Cleveland$87,400 to $235,000

Colorado$94,400 to $253,800

District of Columbia$100,500 to $270,300

Illinois$87,400 to $253,800

Maine$80,400 to $216,200

Maryland$94,400 to $253,800

Massachusetts$94,400 to $270,300

Minnesota$94,400 to $253,800

New York$87,400 to $293,800

New Jersey$100,500 to $293,800

Virginia$87,400 to $270,300

Washington$100,500 to $270,300

About Accenture

Accenture plc is a multinational professional services company that provides services in strategy, consulting, digital, technology, and operations. The company has more than 537,000 employees serving clients in more than 120 countries. Accenture operates across five business segments: Communications, Media & Technology; Financial Services; Health & Public Service; Products; and Resources. The company is headquartered in Dublin, Ireland, and has offices worldwide.
Learn more about Accenture
Size
624,000 employees
Market Cap
$173.8 billion
Industry
Net Income
$5.2 billion
Founded
1989
5 Year Trend
+11.2%
Revenue
$44.7 billion
NASDAQ

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